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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 6342
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    Explanations

    specific instances of finding or locating something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to achieving personal goals or objectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amon
    -0.64
     expect
    -0.63
    imet
    -0.63
    angering
    -0.62
    001
    -0.61
     Atkins
    -0.60
     Mandatory
    -0.60
     Generations
    -0.59
    inion
    -0.59
     Expect
    -0.59
    POSITIVE LOGITS
     suitable
    1.02
     groove
    0.98
     footing
    0.96
     loophole
    0.95
     elusive
    0.93
    ById
    0.93
     loopholes
    0.89
     ways
    0.88
     niche
    0.88
     scapego
    0.88
    Activations Density 0.231%

    No Known Activations